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CeNETs analysis reveals the prognostic value of a signature integration from five lncRNAs in breast cancer
Author(s) -
Wang Ke,
Liao Caihua,
Zhong Qiong,
Dong Haiyan,
Zhang Tiancheng,
Jin Rongzhong
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.28626
Subject(s) - competing endogenous rna , microrna , breast cancer , computational biology , biology , cancer , long non coding rna , gene , oncology , rna , bioinformatics , medicine , genetics
Background The competitive endogenous RNA (ceRNA) hypothesis is a novel effective theory that can enable us to deeply understand the mechanisms of comprehensive diseases. Methods In this study, we first downloaded RNAseq data and microRNA (miRNA) seq data of breast cancer from The Cancer Genome Atlas and further explored the regulation of ceRNA network in breast cancer using comprehensive bioinformatics tools. Results The results revealed that five miRNAs, including hsa‐miR‐10b, hsa‐miR‐21, hsa‐miR‐183, hsa‐miR‐1258, and hsa‐miR‐3200 formed the core of ceRNA network. Moreover, five long noncoding RNAs that could competitively bind with miR‐10b, respectively, named ACTA2‐AS1, RP11‐384P7.7, RP11‐327J17.9, RP11‐124N14.3, and RP11‐645C24.5, were discovered as an integration signature with great potential in the prediction of survival outcomes in patients with different stages of breast cancer. Conclusions This indicates that these five long noncoding RNAs may be potential novel diagnostic and prognostic biomarkers of breast cancer.